40,000 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Author a Tabame launcher plugin – an external Python/Node/Bun script that extends the app launcher, talking newline-delimited JSON over stdin/stdout. Use when the user wants to build, scaffold, debug, or install a Tabame launcher plugin, add a new launcher keyword backed by a script, or asks about the plugin…
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential…
Use when the user wants to add, connect, sign in to or fix an MCP connector (a server that gives you tools for an app such as GitHub, Linear or Notion).
Agent orchestration primitives — review loops, repeat passes, parallel races, and task-list progression. No CLI needed. Use when the user wants iterative refinement, competing approaches, or autonomous task completion.
Estimate whether an AI model can complete a task and how long it will take, using METR-style time-horizon modeling. Use when scoping agent work, deciding if a task is within reach, planning retries/parallelism, estimating wall-clock time for SWE/MLE/math tasks, or answering "can you do this" / "how long will this…
Use when building, extending or upgrading an agent on the yoagent Rust crate. Maps each job (tools, policies, verifiers, budgets, sub-agents, plugins from other ecosystems, retries, structured output, tests) to the yoagent feature for it, with tips, pitfalls and what changed per version.
A command-line tool for managing Alibaba Cloud Bailian hosted agents and deployments from an agents.yaml file. This file acts as the single description of the remote resources, similar to infrastructure-as-code configuration.
Run work across more than one agent — the task subagent, the delegate tool, background commands, and the user's other live agentica sessions reached with listagents / sendmessage (including a second CLI in tmux). Use when a job wants parallel workers, when choosing among these, or when coordinating with or answering…
Use for architectural decisions about the elizaOS runtime, plugin resolution, NODEPATH setup, Electrobun boundaries, or cross-layer feature design in the Milady codebase. Invoke before large refactors or any change touching runtime/plugin/desktop seams. Pairs with milady-feature-coordinator for execution.
Use when turning an approved domainmap.yaml and skillspec.md into a full-library skill tree or explicitly auditing its structure and dependencies. For agreed batches and source-driven guidance updates, use generate-skill instead.
Deep Research Methodology (8-step method): Transform vague topics into high-quality research reports with systematic fact extraction, framework comparison, independent Agent verification, and verifiable conclusions.
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Set up Cotal on this machine: install it, start a local agent mesh (NATS + JetStream), verify it, and put an agent on it. Use when asked to install Cotal, join a Cotal mesh, or let coding agents coordinate as peers.
AI Pair Collaboration Skill. Coordinate multiple AI models to work together: one creates (Author/Developer), two others review (Codex + Gemini). Works for code, articles, video scripts, and any creative task. Trigger: /ai-pair, ai pair, dev-team, content-team, team-stop.
Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity. Use this skill when: (1) deciding which model to use for a task, (2) spawning sub-agents, (3) considering cost efficiency, (4) the current model feels like overkill for the task. Triggers: "model routing", "cost…
Multi-round negotiation protocol — covers both initiator and peer roles. Use when about to call negotiate(), when receiving a intent block as a peer, or when receiving an 'escalated' sentinel from a blocked respondnegotiate. Covers proposal crafting, counter-strategy, deadlock detection, when to accept early…
Use this skill when the online UI chat assistant must guide a user through designing a ChengOS workflow and generate an importable workflow JSON file. The assistant uses Workflow API endpoints for templates, node schemas, and LLM model lists.
Generate an Agent Skill from an OpenAPI 3.x file or URL using the openapi-to-skills CLI. Use when asked to convert an API specification into a skill or create API reference docs for on-demand loading.
Autonomous multi-agent mission orchestrator. Decomposes a mission into tasks, spawns sub-agents for each step, reviews output against exit criteria, and chains tasks automatically with retry. State persists to disk so missions survive context loss. Triggered by the Conductor UI or by direct user request.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: